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Research · 03 of 05

A supervised AI took urgent-care histories with no safety stops in 98 patients

Treat patient-facing diagnostic AI as research-stage; any summary it produces needs checking before it informs care.

Design
Prospective, single-centre, single-arm feasibility study
Population
98 English-speaking adults with a single-complaint urgent primary care appointment
Primary outcome
Safety stops, conversation quality ratings and patient and clinician experience
Effect
0 safety stops; 1 hallucination; rated favourably on 87–100% of evaluator criteria; helpful to 33 of 44 doctors

In this single-centre, single-arm feasibility study, 98 adults booked for a single-complaint urgent primary care visit first had a text conversation with a diagnostic AI system up to five days beforehand. Physicians watched every conversation live, ready to stop it against prespecified safety criteria. The transcript and summary went to the treating doctor.

No conversation needed stopping. Supervisors recorded one hallucination and added clinical information in five conversations. Clinical evaluators rated the AI's conversations favourably on 87–100% of quality criteria. Of the 44 doctors who read the transcript before the visit and returned a survey, 33 found it helpful and 25 said it might have changed what they did.

This is early evidence of feasibility and acceptability, not of diagnostic accuracy or patient outcomes. Every conversation had a doctor watching, the sample is small, only English speakers took part, and the system's developer funded the study. It is a reason to follow the field, not to deploy an unsupervised tool.

  • This study tested feasibility under live physician supervision; it did not test diagnostic accuracy or outcomes.
  • One hallucination occurred in 98 conversations; any AI-generated history needs checking by the clinician.
  • Treat an AI pre-visit summary as a draft history, not as findings.
  • Ask patients whether they have used a chatbot before the visit; it shapes what they expect and report.

Why it matters

It is one of the first looks at an AI history-taker with real patients rather than actors.

Don't overread it

Every conversation was watched by a physician, so the safety record does not apply to unsupervised use.

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